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MachineLearningOnlineDeploymentProperties Class

Definition

Please note MachineLearningOnlineDeploymentProperties is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningKubernetesOnlineDeployment and MachineLearningManagedOnlineDeployment.

public class MachineLearningOnlineDeploymentProperties : Azure.ResourceManager.MachineLearning.Models.MachineLearningEndpointDeploymentProperties, System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningOnlineDeploymentProperties>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningOnlineDeploymentProperties>
public class MachineLearningOnlineDeploymentProperties : Azure.ResourceManager.MachineLearning.Models.MachineLearningEndpointDeploymentProperties
type MachineLearningOnlineDeploymentProperties = class
    inherit MachineLearningEndpointDeploymentProperties
    interface IJsonModel<MachineLearningOnlineDeploymentProperties>
    interface IPersistableModel<MachineLearningOnlineDeploymentProperties>
type MachineLearningOnlineDeploymentProperties = class
    inherit MachineLearningEndpointDeploymentProperties
Public Class MachineLearningOnlineDeploymentProperties
Inherits MachineLearningEndpointDeploymentProperties
Implements IJsonModel(Of MachineLearningOnlineDeploymentProperties), IPersistableModel(Of MachineLearningOnlineDeploymentProperties)
Public Class MachineLearningOnlineDeploymentProperties
Inherits MachineLearningEndpointDeploymentProperties
Inheritance
MachineLearningOnlineDeploymentProperties
Derived
Implements

Constructors

MachineLearningOnlineDeploymentProperties()

Initializes a new instance of MachineLearningOnlineDeploymentProperties.

Properties

AppInsightsEnabled

If true, enables Application Insights logging.

CodeConfiguration

Code configuration for the endpoint deployment.

(Inherited from MachineLearningEndpointDeploymentProperties)
DataCollector

The mdc configuration, we disable mdc when it's null.

Description

Description of the endpoint deployment.

(Inherited from MachineLearningEndpointDeploymentProperties)
EgressPublicNetworkAccess

If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.

EnvironmentId

ARM resource ID or AssetId of the environment specification for the endpoint deployment.

(Inherited from MachineLearningEndpointDeploymentProperties)
EnvironmentVariables

Environment variables configuration for the deployment.

(Inherited from MachineLearningEndpointDeploymentProperties)
InstanceType

Compute instance type.

LivenessProbe

Liveness probe monitors the health of the container regularly.

Model

The URI path to the model.

ModelMountPath

The path to mount the model in custom container.

Properties

Property dictionary. Properties can be added, but not removed or altered.

(Inherited from MachineLearningEndpointDeploymentProperties)
ProvisioningState

Provisioning state for the endpoint deployment.

ReadinessProbe

Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.

RequestSettings

Request settings for the deployment.

ScaleSettings

Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment. Please note MachineLearningOnlineScaleSettings is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningDefaultScaleSettings and MachineLearningTargetUtilizationScaleSettings.

Explicit Interface Implementations

IJsonModel<MachineLearningEndpointDeploymentProperties>.Create(Utf8JsonReader, ModelReaderWriterOptions)

Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model.

(Inherited from MachineLearningEndpointDeploymentProperties)
IJsonModel<MachineLearningEndpointDeploymentProperties>.Write(Utf8JsonWriter, ModelReaderWriterOptions)

Writes the model to the provided Utf8JsonWriter.

(Inherited from MachineLearningEndpointDeploymentProperties)
IJsonModel<MachineLearningOnlineDeploymentProperties>.Create(Utf8JsonReader, ModelReaderWriterOptions)

Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model.

IJsonModel<MachineLearningOnlineDeploymentProperties>.Write(Utf8JsonWriter, ModelReaderWriterOptions)

Writes the model to the provided Utf8JsonWriter.

IPersistableModel<MachineLearningEndpointDeploymentProperties>.Create(BinaryData, ModelReaderWriterOptions)

Converts the provided BinaryData into a model.

(Inherited from MachineLearningEndpointDeploymentProperties)
IPersistableModel<MachineLearningEndpointDeploymentProperties>.GetFormatFromOptions(ModelReaderWriterOptions)

Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service.

(Inherited from MachineLearningEndpointDeploymentProperties)
IPersistableModel<MachineLearningEndpointDeploymentProperties>.Write(ModelReaderWriterOptions)

Writes the model into a BinaryData.

(Inherited from MachineLearningEndpointDeploymentProperties)
IPersistableModel<MachineLearningOnlineDeploymentProperties>.Create(BinaryData, ModelReaderWriterOptions)

Converts the provided BinaryData into a model.

IPersistableModel<MachineLearningOnlineDeploymentProperties>.GetFormatFromOptions(ModelReaderWriterOptions)

Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service.

IPersistableModel<MachineLearningOnlineDeploymentProperties>.Write(ModelReaderWriterOptions)

Writes the model into a BinaryData.

Applies to